Evidence map›Paper›PMID 27312990›Full record

ArticleJournal of nephrology2016

Geographic disparities in mortality among the end stage renal disease patients: an analysis of the United States Renal Data System, 2007-08.

Fozia Ajmal, Kevin J Bennett, Janice C Probst

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fozia AjmalDepartment of Health Policy and Management, Arnold School of Public Health, University of South Carolina, 220 Stoneridge Drive, Suite 204, Columbia, SC, 29208, USA. ajmal@email.sc.edu.
Kevin J BennettDepartment of Family and Preventive Medicine, University of South Carolina School of Medicine, 3209 Colonial Drive, Columbia, SC, 29203, USA.
Janice C ProbstDepartment of Health Policy and Management, Arnold School of Public Health, University of South Carolina, 220 Stoneridge Drive, Suite 204, Columbia, SC, 29208, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study was conducted to determine the association between mortality, rurality, and distance from the treatment facility of the patients with ESRD. The United States Renal Data System (USRDS) for the year 2007-08 was utilized to conduct analysis of 181,349 subjects. After adjusting for all other covariates, the odds of mortality were higher among patients in urban and isolated areas (18.1 miles or more from the dialysis facility), compared with those who were living closer (≤3.3 miles, OR 1.08, 95 % CI 1.05-1.12). Conversely, patients living in isolated rural (0-≤3.3 miles, OR 0.95, 95 % CI 0.81-0.96), small adjacent rural (8.1-≤18.1 miles, OR 0.90, 95 % CI 0.77-0.96) and Micropolitan rural quartiles (>18.1 miles, OR 0.96, 95 % CI 0.92-0.97) had lower odds of mortality than their urban counterparts. The Accountable Care Organizations must devise strategies to cater ESRD patients living in remote areas.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityRural Health ServicesUrban Health ServicesAgedCatchment Area, HealthChi-Square DistributionCross-Sectional StudiesDatabases, FactualFemaleHumansKidney Failure, ChronicLogistic ModelsMaleMiddle AgedMultivariate AnalysisDisparitiesDistanceESRDRuralityUSRDS

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.